Kling Omni Video O3 (Standard) Reference-to-Video generates creative videos using character, prop, or scene references. Supports up to 7 reference images and optional video input.
Eingabe
Ausgabe
InaktivJede Ausführung kostet 0.071. Für $10 können Sie ca. 140 Mal ausführen.
Sie können fortfahren mit:
Codebeispiel
import requests
import time
# Step 1: Start video generation
generate_url = "https://api.atlascloud.ai/api/v1/model/generateVideo"
headers = {
"Content-Type": "application/json",
"Authorization": "Bearer $ATLASCLOUD_API_KEY"
}
data = {
"model": "kwaivgi/kling-video-o3-std/reference-to-video",
"prompt": "A beautiful sunset over the ocean with gentle waves",
"width": 512,
"height": 512,
"duration": 3,
"fps": 24,
}
generate_response = requests.post(generate_url, headers=headers, json=data)
generate_result = generate_response.json()
prediction_id = generate_result["data"]["id"]
# Step 2: Poll for result
poll_url = f"https://api.atlascloud.ai/api/v1/model/prediction/{prediction_id}"
def check_status():
while True:
response = requests.get(poll_url, headers={"Authorization": "Bearer $ATLASCLOUD_API_KEY"})
result = response.json()
if result["data"]["status"] in ["completed", "succeeded"]:
print("Generated video:", result["data"]["outputs"][0])
return result["data"]["outputs"][0]
elif result["data"]["status"] == "failed":
raise Exception(result["data"]["error"] or "Generation failed")
else:
# Still processing, wait 2 seconds
time.sleep(2)
video_url = check_status()Installieren
Installieren Sie das erforderliche Paket für Ihre Programmiersprache.
pip install requestsAuthentifizierung
Alle API-Anfragen erfordern eine Authentifizierung über einen API-Schlüssel. Sie können Ihren API-Schlüssel über das Atlas Cloud Dashboard erhalten.
export ATLASCLOUD_API_KEY="your-api-key-here"HTTP-Header
import os
API_KEY = os.environ.get("ATLASCLOUD_API_KEY")
headers = {
"Content-Type": "application/json",
"Authorization": f"Bearer {API_KEY}"
}Geben Sie Ihren API-Schlüssel niemals in clientseitigem Code oder öffentlichen Repositories preis. Verwenden Sie stattdessen Umgebungsvariablen oder einen Backend-Proxy.
Anfrage senden
import requests
url = "https://api.atlascloud.ai/api/v1/model/generateVideo"
headers = {
"Content-Type": "application/json",
"Authorization": "Bearer $ATLASCLOUD_API_KEY"
}
data = {
"model": "your-model",
"prompt": "A beautiful landscape"
}
response = requests.post(url, headers=headers, json=data)
print(response.json())Anfrage senden
Senden Sie eine asynchrone Generierungsanfrage. Die API gibt eine Vorhersage-ID zurück, mit der Sie den Status prüfen und das Ergebnis abrufen können.
/api/v1/model/generateVideoAnfragekörper
import requests
url = "https://api.atlascloud.ai/api/v1/model/generateVideo"
headers = {
"Content-Type": "application/json",
"Authorization": "Bearer $ATLASCLOUD_API_KEY"
}
data = {
"model": "kwaivgi/kling-video-o3-std/reference-to-video",
"input": {
"prompt": "A beautiful sunset over the ocean with gentle waves"
}
}
response = requests.post(url, headers=headers, json=data)
result = response.json()
print(f"Prediction ID: {result['id']}")
print(f"Status: {result['status']}")Antwort
{
"id": "pred_abc123",
"status": "processing",
"model": "model-name",
"created_at": "2025-01-01T00:00:00Z"
}Status prüfen
Fragen Sie den Vorhersage-Endpunkt ab, um den aktuellen Status Ihrer Anfrage zu überprüfen.
/api/v1/model/prediction/{prediction_id}Abfrage-Beispiel
import requests
import time
prediction_id = "pred_abc123"
url = f"https://api.atlascloud.ai/api/v1/model/prediction/{prediction_id}"
headers = { "Authorization": "Bearer $ATLASCLOUD_API_KEY" }
while True:
response = requests.get(url, headers=headers)
result = response.json()
status = result["data"]["status"]
print(f"Status: {status}")
if status in ["completed", "succeeded"]:
output_url = result["data"]["outputs"][0]
print(f"Output URL: {output_url}")
break
elif status == "failed":
print(f"Error: {result['data'].get('error', 'Unknown')}")
break
time.sleep(3)Statuswerte
processingDie Anfrage wird noch verarbeitet.completedDie Generierung ist abgeschlossen. Ergebnisse sind verfügbar.succeededDie Generierung war erfolgreich. Ergebnisse sind verfügbar.failedDie Generierung ist fehlgeschlagen. Überprüfen Sie das Fehlerfeld.Abgeschlossene Antwort
{
"data": {
"id": "pred_abc123",
"status": "completed",
"outputs": [
"https://storage.atlascloud.ai/outputs/result.mp4"
],
"metrics": {
"predict_time": 45.2
},
"created_at": "2025-01-01T00:00:00Z",
"completed_at": "2025-01-01T00:00:10Z"
}
}Dateien hochladen
Laden Sie Dateien in den Atlas Cloud Speicher hoch und erhalten Sie eine URL, die Sie in Ihren API-Anfragen verwenden können. Verwenden Sie multipart/form-data zum Hochladen.
/api/v1/model/uploadMediaUpload-Beispiel
import requests
url = "https://api.atlascloud.ai/api/v1/model/uploadMedia"
headers = { "Authorization": "Bearer $ATLASCLOUD_API_KEY" }
with open("image.png", "rb") as f:
files = {"file": ("image.png", f, "image/png")}
response = requests.post(url, headers=headers, files=files)
result = response.json()
download_url = result["data"]["download_url"]
print(f"File URL: {download_url}")Antwort
{
"data": {
"download_url": "https://storage.atlascloud.ai/uploads/abc123/image.png",
"file_name": "image.png",
"content_type": "image/png",
"size": 1024000
}
}Eingabe-Schema
Die folgenden Parameter werden im Anfragekörper akzeptiert.
Keine Parameter verfügbar.
Beispiel-Anfragekörper
{
"model": "kwaivgi/kling-video-o3-std/reference-to-video"
}Ausgabe-Schema
Die API gibt eine Vorhersage-Antwort mit den generierten Ausgabe-URLs zurück.
Beispielantwort
{
"id": "pred_abc123",
"status": "completed",
"model": "model-name",
"outputs": [
"https://storage.atlascloud.ai/outputs/result.mp4"
],
"metrics": {
"predict_time": 45.2
},
"created_at": "2025-01-01T00:00:00Z",
"completed_at": "2025-01-01T00:00:10Z"
}Atlas Cloud Skills
Atlas Cloud Skills integriert über 300 KI-Modelle direkt in Ihren KI-Coding-Assistenten. Ein Befehl zur Installation, dann verwenden Sie natürliche Sprache, um Bilder, Videos zu generieren und mit LLMs zu chatten.
Unterstützte Clients
Installieren
npx skills add AtlasCloudAI/atlas-cloud-skillsAPI-Schlüssel einrichten
Erhalten Sie Ihren API-Schlüssel über das Atlas Cloud Dashboard und setzen Sie ihn als Umgebungsvariable.
export ATLASCLOUD_API_KEY="your-api-key-here"Funktionen
Nach der Installation können Sie natürliche Sprache in Ihrem KI-Assistenten verwenden, um auf alle Atlas Cloud Modelle zuzugreifen.
MCP-Server
Der Atlas Cloud MCP-Server verbindet Ihre IDE mit über 300 KI-Modellen über das Model Context Protocol. Funktioniert mit jedem MCP-kompatiblen Client.
Unterstützte Clients
Installieren
npx -y atlascloud-mcpKonfiguration
Fügen Sie die folgende Konfiguration zur MCP-Einstellungsdatei Ihrer IDE hinzu.
{
"mcpServers": {
"atlascloud": {
"command": "npx",
"args": [
"-y",
"atlascloud-mcp"
],
"env": {
"ATLASCLOUD_API_KEY": "your-api-key-here"
}
}
}
}Verfügbare Werkzeuge
API-Schema
Schema nicht verfügbarAnmelden, um Anfrageverlauf anzuzeigen
Sie müssen angemeldet sein, um auf Ihren Modellanfrageverlauf zuzugreifen.
AnmeldenKling Video O3 Std Reference-to-Video
Kling Video O3 Standard Reference-to-Video generates new videos guided by reference images and an optional reference video, maintaining consistent characters, styles, and scenes. Describe a scenario involving the people or elements in your reference images — the model brings them together in a coherent, natural video. Supports flexible duration, aspect ratio control, and optional sound generation.
Why Choose This?
Character-consistent generation Upload reference images of specific people or elements, and the model preserves their identity throughout the generated video.
Multi-reference support Provide multiple reference images to combine different characters, styles, or elements in one scene.
Optional reference video Supply a reference video for motion guidance, style transfer, or scene continuity.
Sound options Keep original audio from a reference video, or generate new synchronized sound effects.
Flexible output Multiple aspect ratios (16:9, 9:16, 1:1, etc.) and duration from 3 to 15 seconds.
Parameters
| Parameter | Required | Description |
|---|---|---|
| prompt | Yes | Text description of the desired scene and action |
| video | No | Reference video for motion or style guidance |
| images | No | Reference images of characters, elements, or styles |
| keep_original_sound | No | Keep the original sound from the reference video (default: enabled) |
| sound | No | Generate synchronized audio for the video (default: disabled) |
| aspect_ratio | No | Video aspect ratio (default: 16:9) |
| duration | No | Video length: 3–15 seconds (default: 5) |
How to Use
- Run — submit and download your video.
- Set sound preference — keep original audio from the reference video, or enable generated sound.
- Set duration — choose any length from 3 to 15 seconds.
- Choose aspect ratio — select the format that fits your platform.
- Add reference video (optional) — provide a video for motion or style guidance.
- Add reference images — upload images of the characters, objects, or styles you want in the video.
- Write your prompt — describe the scene, referencing the characters or elements in your images (e.g., "The man in Figure 2 is walking with the woman in Figure 1 in the park.").
Best Use Cases
- Style Transfer — Use a reference video to guide the motion and visual style of new content.
- Creative Concepting — Combine multiple characters or elements into new scenarios for rapid ideation.
- Marketing & Ads — Generate brand ambassador or spokesperson videos from still photos.
- Social Media Content — Produce personalized short-form videos with consistent character identity.
- Character-Driven Storytelling — Create scenes starring specific characters from your reference images.
Pro Tips
- Match aspect ratio to your target platform: 16:9 for YouTube, 9:16 for TikTok/Reels.
- Use shorter durations (3–5 s) for testing character consistency before generating longer clips.
- Adding a reference video significantly enhances motion quality.
- Use "Figure 1", "Figure 2" etc. in your prompt to refer to specific reference images in order.
- Reference images with clear faces and distinct features produce the best character consistency.
Notes
- Ensure uploaded URLs are publicly accessible.
- Duration supports any value from 3 to 15 seconds.
- Prompt is the only required field, but reference images are recommended for best results.
Related Models
- Kling Video O3 Std Video Edit — Edit existing videos with natural-language instructions.
- Kling Video O3 Std Text-to-Video — Generate videos from text prompts at Standard pricing.
- Kling Video O3 Std Image-to-Video — Animate a single image into video at Standard pricing.
- Kling Video O3 Pro Reference-to-Video — Maximum quality reference-to-video with O3 Pro tier.
